4.6 Hybrid and Multi-Cloud
Key Takeaways
- Hybrid cloud combines on-premises infrastructure with public cloud; multi-cloud uses two or more public clouds, and organizations choose these strategies for regulatory, strategic, and operational reasons
- Common drivers for hybrid or multi-cloud include data sovereignty and regulatory requirements, avoiding vendor lock-in, leveraging best-of-breed services, incremental migration, mergers and acquisitions (M&A) integration, and latency or edge needs
- Anthos is Google Cloud's platform for managing Kubernetes workloads across Google Cloud, on-premises, AWS, and Azure from a single control plane
- Anthos delivers consistent operations, unified policy enforcement, and workload portability through containers and Kubernetes, reducing operational complexity across environments
- Anthos is the right choice when an organization needs a single pane of glass to govern, deploy, and operate containerized workloads consistently across heterogeneous environments
Defining Hybrid Cloud and Multi-Cloud
The terms hybrid cloud and multi-cloud describe two related but distinct deployment strategies.
- Hybrid cloud combines on-premises infrastructure (or a private cloud) with one or more public clouds, with workload and data movement between them. A common pattern is keeping sensitive systems on-premises while running newer cloud-native workloads in the public cloud.
- Multi-cloud is the deliberate use of two or more public clouds (for example, Google Cloud plus AWS plus Azure) for different workloads or for the same workload spread across providers.
These strategies are not mutually exclusive. Many large organizations run a hybrid and multi-cloud environment at the same time.
Hybrid vs. Multi-Cloud Comparison
| Dimension | Hybrid Cloud | Multi-Cloud |
|---|---|---|
| What it combines | On-prem + public cloud | Two or more public clouds |
| Typical driver | Data sovereignty, legacy systems, incremental migration | Best-of-breed services, avoiding lock-in, M&A integration |
| Workload placement | Sensitive workloads stay on-prem; elastic workloads go to cloud | Different clouds for different services or capabilities |
| Network complexity | High — secure connectivity to on-prem | High — inter-cloud networking |
| Operational complexity | Two operational models | Multiple cloud-specific operational models |
Business Reasons for Choosing Hybrid or Multi-Cloud
Organizations adopt hybrid or multi-cloud strategies for concrete business reasons, not just technology preference.
Regulatory and Data Sovereignty Constraints
Some data must remain on-premises or within a specific geography due to regulation (healthcare, finance, government, defense). Hybrid cloud lets an organization keep regulated workloads and data on-premises or in a specific cloud region, while running less-sensitive workloads in the public cloud. Multi-cloud lets an organization place workloads in clouds that meet the residency requirements of different jurisdictions.
Avoiding Vendor Lock-In
Relying on a single cloud provider for everything creates strategic risk: pricing power shifts to the vendor, and migration away becomes expensive. Multi-cloud keeps providers honest, gives negotiating leverage, and lets the organization move workloads if a provider changes terms or falls behind.
Leveraging Best-of-Breed Services
Different clouds lead in different areas. One cloud may have the strongest AI/ML services, another the best content delivery, another the deepest Windows and Office integration. Multi-cloud lets an organization pick the best service for each workload rather than compromising on a single provider.
Incremental Migration
Few organizations can move everything to the cloud at once. A hybrid approach lets teams migrate in waves, keeping systems on-premises until their cloud replacement is ready, and decommissioning the legacy system only after validation.
Mergers and Acquisitions (M&A)
Mergers and acquisitions (M&A) frequently produce mixed estates. The acquired company may already run on AWS while the acquirer runs on Google Cloud. Multi-cloud lets the combined organization keep both estates running and integrate them over time rather than forcing an immediate, risky migration.
Latency and Edge Needs
Some workloads must run close to users or to physical equipment. Edge locations, factory floors, retail stores, and telecom sites often require a hybrid model where compute sits at the edge and heavier processing happens in the public cloud.
The Business Value of Anthos
Running workloads across heterogeneous environments creates a serious operational problem: each environment has its own tooling, policies, observability, and deployment model. Managing them separately is expensive and error-prone.
Anthos is Google Cloud's answer. Anthos is a hybrid and multi-cloud platform that provides a single control plane — a single pane of glass — for managing Kubernetes workloads across Google Cloud, on-premises (Anthos on-prem), Amazon Web Services (AWS), and Microsoft Azure.
What Anthos Provides
- Consistent operations — The same Kubernetes API, the same deployment model, and the same observability stack across every environment. Teams learn one set of tooling and use it everywhere.
- Unified policy enforcement — Security and compliance policies (who can deploy what, with which configurations) are defined once and enforced consistently across all clusters in all environments.
- Workload portability — Because workloads are packaged as containers and orchestrated by Kubernetes, they can be moved between Google Cloud, on-premises, AWS, and Azure without rewriting.
- Reduced operational complexity — Instead of separate teams and tooling per environment, one team can manage all Kubernetes clusters centrally.
- Centralized visibility — A single dashboard shows workloads, health, and policy status across every environment.
Anthos Components
- Anthos GKE — managed Kubernetes on Google Cloud and on-premises (GKE On-Prem).
- Anthos attached clusters — register and manage existing Kubernetes clusters on AWS and Azure from the Anthos control plane.
- Anthos Config Management — enforce configuration and policy as code across all clusters.
- Anthos Service Mesh — manage service-to-service communication, security, and observability consistently across environments.
- Migrate to Anthos — lift and reshape VM-based workloads into containers that run on Anthos-managed clusters.
Anthos Use Cases
| Use Case | Why Anthos Helps |
|---|---|
| Regulated workload that must stay partly on-prem | Run sensitive services on-prem and the rest in Google Cloud under one control plane |
| Organization acquired a company running on AWS | Manage both clouds' Kubernetes workloads from one pane of glass |
| FinTech avoiding cloud lock-in | Deploy identical workloads across Google Cloud and Azure |
| Global manufacturer with edge sites | Run Kubernetes at the edge and reconcile from the central Anthos control plane |
| Enterprise standardizing on Kubernetes as a platform | One operational model and one policy framework for all clusters everywhere |
When Anthos Is the Right Choice
Anthos is the right choice when an organization needs to run Kubernetes workloads across more than one environment and wants a consistent operational model across all of them. For a single-environment deployment, plain GKE on Google Cloud is simpler and sufficient. The business value of Anthos grows with the number and diversity of environments being managed.
Naming change for the updated exam - Anthos is now GKE Enterprise. Google rebranded Anthos as GKE Enterprise, the enterprise tier of Google Kubernetes Engine. The capability is the same one described above - one control plane, consistent policy, and workload portability across Google Cloud, on-premises, AWS, and Azure - but the exam guide effective August 12, 2026 never says "Anthos." Instead it asks you to recognise the Google Cloud products supported on hybrid and multicloud environments, and names five:
| Product | What it gives you off Google Cloud |
|---|---|
| GKE Enterprise | Fleet-wide Kubernetes management, config and policy as code, and service mesh across clouds and on-premises |
| AlloyDB Omni | The AlloyDB PostgreSQL-compatible engine running on-premises, on other clouds, or on a developer laptop |
| BigQuery Omni | BigQuery analytics executed against data left in place in AWS S3 or Azure Blob Storage |
| Cloud SQL | Managed relational databases reachable from hybrid estates, with migration paths from on-premises engines |
| Looker | One governed semantic model over data spread across clouds and on-premises warehouses |
The pattern behind the list is the business message Google wants you to take away: portability is delivered per layer - Kubernetes for compute, Omni variants for data, Looker for analytics - so an organization can pursue a hybrid or multicloud strategy without re-platforming each layer separately. If you are sitting the current exam through August 11, answer "Anthos"; from August 12, answer "GKE Enterprise."
What is the difference between hybrid cloud and multi-cloud?
Which is a business reason an organization would choose a hybrid or multi-cloud strategy?
What is the core business value of Anthos?
An organization acquired a company whose workloads already run on AWS, while the acquirer runs on Google Cloud. Which Anthos capability best fits this situation?